Progress in analytical methods for pesticide detection in palm oil and palm kernel oil matrices, and pesticide fate studies in oil palm plantations

Bonnie Tay Yen Ping, Zulina Abdul Maurad
{"title":"Progress in analytical methods for pesticide detection in palm oil and palm kernel oil matrices, and pesticide fate studies in oil palm plantations","authors":"Bonnie Tay Yen Ping, Zulina Abdul Maurad","doi":"10.1002/aocs.12885","DOIUrl":null,"url":null,"abstract":"This review presents a comprehensive overview of instrumental analyses for both single‐component and multicomponent pesticide detection within palm oil matrices. It meticulously examines the analytical attributes of these methods across various pesticide categories, including insecticides, herbicides, and fungicides. The discussion extends to sample preparation methodologies tailored for palm oil, encompassing techniques such as low‐temperature precipitation followed by solid‐phase extraction, liquid–liquid extraction, and variations of the Quick, Easy, Cheap, Effective, Rugged, and Safe (QuEChERS) method. Additionally, it explores the QuEChERS method employing different sorbent combinations to optimize extraction efficiency. The second part of the review focuses on the fate study of pesticides within oil palm plantations which covers laboratory‐scale simulations elucidating pesticide behavior, comparative analysis of field studies with predictive programs, and investigations into the influence of climatic and microbiological factors on pesticide persistence within the oil palm agroenvironment system.","PeriodicalId":501405,"journal":{"name":"The Journal of the American Oil Chemists’ Society","volume":"152 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Journal of the American Oil Chemists’ Society","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1002/aocs.12885","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

This review presents a comprehensive overview of instrumental analyses for both single‐component and multicomponent pesticide detection within palm oil matrices. It meticulously examines the analytical attributes of these methods across various pesticide categories, including insecticides, herbicides, and fungicides. The discussion extends to sample preparation methodologies tailored for palm oil, encompassing techniques such as low‐temperature precipitation followed by solid‐phase extraction, liquid–liquid extraction, and variations of the Quick, Easy, Cheap, Effective, Rugged, and Safe (QuEChERS) method. Additionally, it explores the QuEChERS method employing different sorbent combinations to optimize extraction efficiency. The second part of the review focuses on the fate study of pesticides within oil palm plantations which covers laboratory‐scale simulations elucidating pesticide behavior, comparative analysis of field studies with predictive programs, and investigations into the influence of climatic and microbiological factors on pesticide persistence within the oil palm agroenvironment system.
棕榈油和棕榈仁油基质中农药检测分析方法的进展,以及油棕榈种植园中农药归宿研究
本综述全面概述了在棕榈油基质中检测单组分和多组分农药的仪器分析方法。它仔细研究了这些方法在不同农药类别(包括杀虫剂、除草剂和杀真菌剂)中的分析属性。讨论延伸到了为棕榈油量身定制的样品制备方法,包括低温沉淀后固相萃取、液液萃取等技术,以及快速、简便、廉价、有效、坚固和安全 (QuEChERS) 方法的变体。此外,本研究还探讨了采用不同吸附剂组合的 QuEChERS 方法,以优化萃取效率。综述的第二部分侧重于油棕种植园内杀虫剂的归宿研究,包括阐明杀虫剂行为的实验室规模模拟、实地研究与预测程序的比较分析,以及气候和微生物因素对油棕农业环境系统内杀虫剂持久性影响的调查。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信